Principal Component Analysis via eigen-decomposition of the covariance/correlation matrix
Project description
eigpca
PCA via eigen-decomposition of the covariance/correlation matrix.
Install
pip install eigpca
Example
from eigpca import PCA
from sklearn.datasets import load_iris
X = load_iris().data
pca = PCA()
pca.fit(X)
pca.transform(X, n_components=2)
Scree Plot
pca.plot(y="pov")
Project details
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